import torch
import torch.nn as nn
import torch.nn.functional as F

class LeNet(nn.Module):

    def __init__(self):
        super(LeNet,self).__init__()

        self.conv1 = nn.Conv2d(3,16,5)
        self.pool1 = nn.MaxPool2d(2,2)
        self.conv2 = nn.Conv2d(16,32,5)
        self.pool2 = nn.MaxPool2d(2,2)

        self.fc1 = nn.Linear(32*5*5,120)
        self.fc2 = nn.Linear(120,84)
        self.fc3 = nn.Linear(84,10)

    def forward(self,x):
        x = self.conv1(x)
        x = F.relu(x)
        x= self.pool1(x)

        x = self.conv2(x)
        x = F.relu(x)
        x =self.pool2(x)
        
        x = torch.flatten(x,1)

        x = self.fc1(x)
        x = F.relu(x)

        x = self.fc2(x)
        x = F.relu(x)

        x = self.fc3(x)
        return x


